CN117221983A - Cabin unit control method, system and computer storage medium - Google Patents
Cabin unit control method, system and computer storage medium Download PDFInfo
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72409—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories
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Abstract
The invention discloses a cabin unit control method, a system and a computer storage medium, wherein the cabin unit control method comprises the steps of obtaining first image data, generating a target wireless network according to the first image data, confirming a target cabin unit corresponding to the first image data, controlling the target cabin unit to start based on the target wireless network, receiving a network access request sent by a client, carrying second characteristic data, and sending a network access response to the client under the condition that the characteristic association degree of the second characteristic data and the first characteristic data corresponding to the target wireless network is smaller than a preset threshold value, so that the client is connected with the target cabin unit through the target wireless network, further, after the target cabin unit corresponding to a user is changed, the mobile terminal carrying the client can be automatically connected to the target wireless network, and the target cabin unit is controlled through the target wireless network, so that user operation is simplified, and more intelligent interaction experience is provided for the user.
Description
Technical Field
The application relates to the technical field of vehicle-mounted equipment control, in particular to a cabin unit control method, a cabin unit control system and a computer storage medium.
Background
In recent years, the automobile industry has entered an intelligent and electric age, and the development of intelligent cabins has been a trend, and compared with the traditional automobile cabins, the intelligent cabins can interact with mobile equipment used by users, so that the human-vehicle interaction effect is achieved, and services such as intelligent display, intelligent voice, intelligent driving and the like are provided for the users.
However, if there are multiple users in the intelligent cabin who need to connect a certain device in the intelligent cabin for interaction using multiple mobile devices, the existing operations are complex and cannot be intelligently and conveniently automatically connected, switched or controlled. For example, when the position of the user in the intelligent cabin is changed, the user needs to manually use the mobile device to perform processes such as network searching, network selection, network clicking and the like, select the wireless network of the cabin unit where the user is currently located and manually input a password to perform network connection with the cabin unit, and the process causes complicated steps when the user connects the cabin unit and switches the connected cabin unit, so that the user experience is affected.
Disclosure of Invention
The embodiment of the application provides a terminal unit control method, a system, equipment and a computer storage medium, which can at least automatically connect a target cabin unit for a user or switch the connected target cabin unit, simplify the operation of the user and provide more intelligent interaction experience for the user.
In a first aspect, an embodiment of the present application provides a cabin, the method including:
acquiring first image data, and generating a target wireless network according to the first image data, wherein the target wireless network comprises network connection data, and the network connection data comprises first characteristic data generated according to the first image data; confirming a target cabin unit corresponding to the first image data, and controlling the target cabin unit to be started based on the target wireless network; receiving a network access request sent by a client, wherein the network access request carries second characteristic data;
and under the condition that the feature association degree of the second feature data and the first feature data is smaller than a preset threshold value, sending a network access response to the client so that the client is connected with the target cabin unit through the target wireless network.
In a second aspect, an embodiment of the present application provides a cabin unit control method, applied to a client, where the method includes: reading a network user name of at least one wireless network; extracting first characteristic data of the network user name; determining a wireless network with the feature association degree smaller than an association threshold as a target wireless network, wherein the feature association degree is the association degree of the first feature data and preset second feature data; generating a network access request according to the second characteristic data and the first characteristic data; and sending the network access request to a target cabin unit corresponding to the target wireless network so as to control the target cabin unit through the target wireless network.
In a third aspect, an embodiment of the present application provides a cabin unit control system, including a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the cabin unit control method according to any one of the embodiments of the first and second aspects when executing the computer program.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium storing computer-executable instructions for performing the cabin unit control method according to any one of the embodiments of the first and second aspects.
The application has at least the following beneficial effects: according to the cabin unit control method, first image data are obtained, a target wireless network is generated according to the first image data, the target wireless network comprises network connection data, the network connection data comprise first characteristic data generated according to the first image data, a target cabin unit corresponding to the first image data is confirmed, the target cabin unit is controlled to be started based on the target wireless network, a network access request sent by a client is received, the network access request carries second characteristic data, and a network access response is sent to the client under the condition that the characteristic association degree of the second characteristic data and the first characteristic data is smaller than a preset threshold value is determined, so that the client is connected with the target cabin unit through the target wireless network, wherein the target wireless network is automatically generated in the target cabin unit according to the first image data, the client of a user is automatically connected to the target wireless network, and then after the cabin unit in which the user is located is changed, the mobile terminal of the client can automatically connect with the target wireless network, the cabin unit is controlled through the target wireless network, the user operation is simplified, the user is not required to manually switch the network, and more intelligent interaction experience is provided for the user.
Drawings
FIG. 1 is a flow chart of a cabin unit control method according to an embodiment of the present application;
fig. 2 is a flowchart of a method for generating a target wireless network in a cabin unit control method according to another embodiment of the present application;
fig. 3 is a flowchart of a method for sending a network access response to a client according to another embodiment of the present application;
FIG. 4 is a flow chart of a method for determining a target cabin unit from a plurality of cabin units in a cabin unit control method according to another embodiment of the present application;
FIG. 5 is a flow chart of another method for determining a target cabin unit from a plurality of cabin units in a cabin unit control method according to another embodiment of the present application;
FIG. 6 is an additional method flow diagram of a cabin unit control method according to another embodiment of the present application;
FIG. 7 is a flowchart of a method for controlling a cabin unit applied to a client according to another embodiment of the present application;
fig. 8 is a flowchart of a method for determining a wireless network corresponding to a network user name with a feature association degree smaller than an association threshold as a target wireless network according to another embodiment of the present application;
fig. 9 is a flowchart of a method for controlling a cabin unit according to another embodiment of the present application applied to an intelligent cabin;
Fig. 10 is a diagram showing an example of a cabin unit control method according to another embodiment of the present application applied to a target cabin unit;
FIG. 11 is a diagram illustrating an example of a cabin unit control method according to another embodiment of the present application applied to a client;
fig. 12 is a block diagram of a cabin unit control method system according to another embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
In some embodiments, although functional block division is performed in a system diagram, logical order is shown in a flowchart, in some cases, steps shown or described may be performed in a different order than block division in a system, or in a flowchart. The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
The application discloses a cabin unit control method, a system and a computer storage medium, wherein, through the cabin unit control method provided by the application, first image data is obtained, and a target wireless network is generated according to the first image data, wherein, the target wireless network comprises network connection data, the network connection data comprises first characteristic data generated according to the first image data, the target cabin unit corresponding to the first image data is confirmed, and the target cabin unit is controlled to start based on the target wireless network, a network access request sent by a client is received, the network access request carries second characteristic data, and a network access response is sent to the client under the condition that the characteristic association degree of the second characteristic data and the first characteristic data is less than a preset threshold value is determined, so that the client is connected with the target cabin unit through the target wireless network, wherein, the first image data of a user is obtained, the target wireless network is automatically generated in the target cabin unit according to the first image data, the client of the user is automatically connected with the target wireless network, and further, after the cabin unit where the user is located is changed, the mobile terminal of the client can be automatically connected with the target wireless network, and the target cabin unit is controlled through the target wireless network, the network is simplified, the network interaction operation is provided for the user, and the user is more intelligent, and the user interaction experience is better.
Embodiments of the present application are further described below with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of the present application provides a cabin unit control method applied to a target cabin unit, including, but not limited to, the following steps:
step S110, acquiring first image data, and generating a target wireless network according to the first image data, wherein the target wireless network comprises network connection data, and the network connection data comprises first characteristic data generated according to the first image data;
in an exemplary embodiment, the intelligent cabin is a digital platform which is modified by the whole vehicle-mounted system, the traditional automobile cabin is only used for marking various driving working conditions, and the intelligent cabin is characterized in that the intelligent cabin is intelligent, a plurality of sensing devices are arranged in the intelligent cabin, meanwhile, a plurality of controllable terminals and AI intelligent devices are matched, the intelligent cabin can give more comfortable driving feeling to a user from habitual and comfortable feeling of the user, the intelligent cabin comprises a plurality of cabin units, the cabin units correspond to the positions of the user in the intelligent cabin, the cabin units are integrated units, the cabin units are provided with independent sensors and comprise environment control components such as an audio and video player, a light and air conditioner and seat position adjusting components, and after the user is connected to a network generated by the cabin units through portable terminals (such as a mobile phone, a tablet computer and the like), the user can control all functional components in the cabin units through corresponding clients on the portable terminals, so that the user requirements are met.
In an exemplary embodiment, when the user a sits on a first intelligent cabin seat and has a first cabin unit corresponding to the first seat, when the user a carries the terminal to unlock, and opens the intelligent cabin application in the portable terminal, the user a needs to manually query and select a corresponding first wireless network through the portable terminal to connect to the first cabin unit, when the user a changes the seat in the intelligent cabin to a second intelligent cabin position, the user a also needs to manually query and select a corresponding second wireless network to connect to the second cabin unit corresponding to the seat through the portable terminal, and the process is tedious, so that the user experience is affected.
In some embodiments, when a user enters the intelligent cockpit, the intelligent cockpit main controller starts a camera to perform face recognition on each user, marks each user, acquires first image data with face information of the user, and sends the first image data to the cockpit unit, so that the cockpit unit performs follow-up face recognition data according to the user according to the first image data to automatically generate a plurality of groups of numbers related to each face, and the generation of the target wireless network is completed.
Step S120, the target cabin unit corresponding to the first image data is confirmed, and the target cabin unit is controlled to be started based on the target wireless network.
In an exemplary embodiment, the target cabin unit is used as a network hotspot to generate a target wireless network, the target wireless network includes network connection data, the network connection data is used for determining a target wireless network corresponding to the target cabin unit in a plurality of wireless networks in the intelligent cabin through the network connection data when the client searches for surrounding networks, and further, a network access request can be sent to the target cabin unit, so that the client controls the target cabin unit through the target wireless network.
In some embodiments, the first image data is face image data of a user, and the first feature data is specific feature data obtained by performing feature extraction processing on the face image data representing the user's personal identity by the target cabin unit through a built-in face recognition functional component, for example: the target cabin unit defines a length reference unit through a built-in face recognition function component, obtains the pupil distance of the eyes of a user, defines as eye-length, for example, the pupil center distance of the eyes is 160 pixels, defines a length reference unit std-length, std-length=eye-length/n, n is a coefficient for subdividing the eye-length, for example, n=20 (or other numerical values) and the like, std-length=8 pixels, simultaneously measures important feature positions of the face by using a standard unit std-length, measures 240 pixels in width between the ears of the user, and is folded into 30 standard lengths to obtain binaural feature data as 30; similarly, the distance between the center point of the eyes and the center point of the mouth can be obtained, for example, 21 standard lengths are obtained, the width of the mouth is 12 standard lengths, then data combination is carried out, the data are combined according to the definition, first characteristic data 302112 which are related to the facial features of the user are obtained, the data can be used for automatically connecting terminal equipment and cabin units carried by the user through association analysis in the subsequent process, and the user operation is simplified.
Step S130, a network access request sent by a client is received, wherein the network access request carries second characteristic data.
In an exemplary embodiment, the network access request includes configuration information and second feature data generated by the client according to the target wireless network, where the configuration information is used to perform network interaction with a target cabin unit corresponding to the target wireless network, and the second feature data is transmitted to the target cabin unit, so that the target cabin unit performs subsequent processing according to the second feature data; the second feature data is used for enabling the target cabin unit to confirm whether the user corresponding to the terminal equipment for sending the second feature data is the user currently located in the cabin unit, and network access is automatically performed for the user under the condition that the user corresponding to the terminal equipment for sending the second feature data is the user currently located in the cabin unit, so that user experience is improved.
In some embodiments, the second feature data is generated by the client according to the user image information acquired in advance, the second feature data represents personal feature data of a user corresponding to the client, represents personal information of the user, and is automatically accessed to the target wireless network for the terminal device carried by the user under the condition that the target cabin unit determines that the second feature data is associated with the first feature data, so that steps of manual operation needed by the user are saved, and user operation is simplified.
And step S140, under the condition that the feature association degree of the second feature data and the first feature data is smaller than a preset threshold value, a network access response is sent to the client, so that the client is connected with the target cabin unit through the target wireless network.
In an exemplary embodiment, data analysis is performed on the second feature data and the first feature data in the target cabin unit, the face data of a user obtained in the intelligent cabin is the first feature data, the data obtained in the portable terminal of the user is the second feature data, the two groups of data are closely related data through comparative analysis on the second feature data and the first feature data, whether the two groups of data come from the face of the same user or not is judged, meanwhile, after the two groups of data come from the face of the same user, the intelligent cabin hotspot grants the equipment access, and a network access response is sent to the client, so that the client controls the target cabin unit through a target wireless network, and the steps of automatically starting the hotspot in front of a corresponding person on a seat and automatically connecting the portable terminal of the user with the hotspot of the unit corresponding to the user in the intelligent cabin are completed.
In some embodiments, when a user enters the intelligent cockpit, the intelligent cockpit master controller activates the camera to face each user and mark each user. And according to each face recognition data and a certain algorithm, a plurality of groups of numbers related to each face are automatically generated. For example, the user a in the intelligent cockpit, the number generated by face recognition, labeled a-CD, has an intelligent cockpit application in the user's mobile phone, and the application also has a function of automatically generating a group of numbers related to his face according to the same algorithm as that in the intelligent cockpit. The number generated by face recognition of the user A in the mobile phone is marked as A-MD, obviously, because the user A is the same person, the A-CD has relevance with the A-MD, meanwhile, in the intelligent cabin, the general controller of the intelligent cabin acquires the specific position of the user in the intelligent cabin and the corresponding target cabin unit because of the existing face recognition data, and further the automatic connection of the portable terminal of the user and the unit in front of the seat of the user is realized.
In some embodiments, in a scenario where a user moves from a first cabin unit to a second cabin unit in an intelligent cabin, the cabin unit control method includes that a main controller of the intelligent cabin acquires second image data, and in a case where the second image data is inconsistent with the first image data, the main controller modifies the first image data into the second image data, and closes a target wireless network corresponding to the first cabin unit, and performs acquisition of the first image data, generates a second wireless network according to the first image data, the second wireless network includes network connection data including first feature data generated according to the first image data, receives a network access request sent by a client, the network access request carries the second feature data, and under the condition that the feature association degree of the second feature data and the first feature data is smaller than the association threshold value, sending a network access response to the client so that the client controls the second cabin unit through the second wireless network, further overcoming the problem that when a plurality of user's portable terminals are connected with a plurality of cabin units in an intelligent cabin, the user changes the position and needs to manually change the network connection configuration of the portable device when the cabin units connected with the portable terminals are wanted to be switched, automatically generating passwords related to face recognition for the user, automatically starting hotspots in front of corresponding personnel on seats, further enabling the client used by the user to control the target cabin unit through the target wireless network, and providing interactive experience according to intelligence for the user.
Referring to fig. 2, an embodiment of the present application provides a cabin unit control method applied to a target cabin unit, including, but not limited to, the following steps:
step S210, extracting biological characteristic data in the first image data to obtain first characteristic data;
step S220, generating network connection data according to the first characteristic data, wherein the network connection data comprises a network user name and a network password;
step S230, a target wireless network is generated according to the network user name and the network password.
In an exemplary embodiment, the biometric data in the first image data is facial image data, the obtained facial image data is subjected to image recognition processing by a face recognition component in the target cabin unit, a plurality of feature parameters representing specific facial features of the user are analyzed and obtained, and the plurality of feature parameters are further subjected to data combination to obtain first feature data representing the personal identity of the user, for example: defining a length reference unit: for example, a user's binocular pupil distance, defined as eye-length, is obtained, for example, the binocular pupil center distance is 160 pixels. The length reference unit std-length is defined, std-length=eye-length/n, n being a coefficient of subdivision of eye-length, for example n=20 (or other numerical value), etc. std-length=8 pixels; the important feature position of the human face is measured by using a standard unit std-length, for example, the width between the ears of the user is measured to be 240 pixels, and 30 standard lengths are folded, so that the binaural feature data is obtained to be 30. Similarly, the distance between the center point of the eyes and the center point of the mouth can be obtained, for example, 21 standard lengths are obtained, and the width of the mouth is 12 standard lengths; data combination, combining the data according to the definition to obtain data 302112, wherein the data is related to the face characteristics of the user.
In some embodiments, it is easy to understand that the foregoing examples use lengths as standard units, and in the practical application process, a person skilled in the relevant art may select the standard units according to the application scenario, or obtain the first feature data from the face image data according to a specific face recognition algorithm, and the specific selection is not limited by the present application.
In some embodiments, the specific recognition algorithm for deriving the first feature data from the face image data includes, but is not limited to, at least one of: the method comprises a face feature point-based recognition algorithm, a whole face image-based recognition algorithm, a template-based recognition algorithm, a neural network recognition algorithm and a support vector machine recognition algorithm.
In some embodiments, the biometric data in the first image information may be facial image data, iris or other image recognition data, and a person skilled in the relevant art may select specific image recognition data as the first image information according to actual situations, where the specific selection is not limiting to the present application.
In some embodiments, the target cabin unit generates network connection data according to the first feature data, the network connection data includes a network user name and a network password, a target wireless network is generated according to the network user name and the network password, when the client sends a network access request, the client determines the target wireless network according to the network user name, and further determines a corresponding target cabin unit, when the target cabin unit receives the network access request, the target cabin unit performs association degree analysis according to feature information carried in the network access request and the network password, when the cabin unit detects that the feature information of the request access hotspot is associated with the network password, access is granted, otherwise access is refused, and further the automatic connection between the portable terminal of the user and the unit in front of the seat of the user is realized.
In some embodiments, the network user name includes first characteristic data for which the network password is, for example: before the step of generating network connection data according to the first feature data, the first feature data 312011 is acquired, the target cabin unit performs data application, the user face data is related to the user name and the password of the hot spot of the intelligent cabin, the intelligent cabin where the user is located is judged, the user name of the hot spot corresponding to the intelligent cabin is adjusted and set to be 'user 302112', the password is set to be '302112', the client can acquire the network password of the target wireless network by acquiring the user name of the target network, the network password is carried in the network access request, after the network access request is sent to the target cabin unit, the target cabin unit directly acquires the network password, allows the equipment corresponding to the client to be accessed, automatically generates the password related to the face recognition for the user, automatically opens the hot spot in front of the corresponding person on the seat, and performs automatic connection.
Referring to fig. 3, an embodiment of the present application provides a cabin unit control method applied to a target cabin unit, including, but not limited to, the following steps:
Step S310, respectively comparing the plurality of first data characteristic values with corresponding second data characteristic values according to preset conditions to obtain the characteristic association degree of the second characteristic data and the first characteristic data;
step S320, if the feature association degree is smaller than the association threshold, the network access response is sent to the client.
In some embodiments, the first feature data includes a plurality of first data feature values generated according to a preset condition, the second feature data includes a plurality of second data feature values generated according to the preset condition, and in a case that a feature association degree of the second feature data and the first feature data is smaller than an association threshold value, sending a network access response to the client includes: and respectively comparing the plurality of first data characteristic values with the corresponding second data characteristic values according to preset conditions to obtain the characteristic association degree of the second characteristic data and the first characteristic data, and sending a network access response to the client under the condition that the characteristic association degree is smaller than an association threshold value.
In an exemplary implementation, in some embodiments, the first characteristic data includes a plurality of first data characteristic values arranged according to a preset condition, and the second characteristic data includes a plurality of second data characteristic values arranged according to a preset condition, for example: the data obtained by the cabin unit in the intelligent cabin is "302112" and the data obtained by the user mobile phone is "312011", and a plurality of characteristic difference values are obtained through comparison analysis of each two-bit data, for example, "30" and "31",21 and "20", and "12" and "11", and the characteristic difference values are smaller than a preset association threshold value "3", so that the two groups of data are judged to be closely associated data, and the faces of the same user are judged to be closely associated.
In some embodiments, in the practical application process, the above-mentioned association threshold, preset condition and bit number of the comparison data may be selected by a person skilled in the relevant art according to an application scenario, or according to a specific face recognition algorithm, to select a determination method for determining whether the two face recognition data are associated, and the specific selection is not limited by the present application.
In some embodiments, a method for acquiring a feature association degree of second feature data and first feature data includes: obtaining a plurality of data characteristic values and a characteristic value sequence according to the second characteristic data; dividing a target network password generated according to the first characteristic data into a plurality of characteristic fields according to the characteristic value sequence; and comparing the characteristic value with the characteristic field to obtain the characteristic association degree.
Referring to fig. 4, an embodiment of the present application provides a cabin unit control method applied to an intelligent cabin, wherein the intelligent cabin includes a plurality of cabin units and a master controller, the cabin units include sub-controllers, and the cabin unit control method includes, but is not limited to, the following steps:
step S410, obtaining position information data according to the first image data;
step S420, determining a target cabin unit from the plurality of cabin units according to the position information data.
In an exemplary implementation manner, the embodiment is applied to the intelligent cabin to acquire face recognition data of the whole intelligent cabin through the main camera, the main controller determines position information representing a specific cabin unit where a user is located in the face recognition data through the built-in image recognition component according to the face recognition data, and the data main controller determines a target cabin unit from a plurality of cabin units according to the position information data so as to perform subsequent operations.
Referring to fig. 5, an embodiment of the present application provides a cabin unit control method applied to an intelligent cabin, the intelligent cabin including a plurality of cabin units and a master controller, the cabin units including sub-controllers, the cabin unit control method including, but not limited to, the following steps:
step S510, acquiring sensing parameters of a sensor generating first image data;
step S520, position information data is obtained according to the sensing parameters;
step S530, determining a target cabin unit from the plurality of cabin units according to the position information data.
In an exemplary implementation manner, the embodiment is applied to an intelligent cabin, the intelligent cabin respectively obtains face recognition data of each corresponding cabin unit through sensors arranged on each cabin unit, the master controller obtains sensing parameters of the sensors for generating the face recognition data, the master controller obtains position information data according to the sensing parameters, and the master controller determines a target cabin unit from a plurality of cabin units according to the position information data, so that subsequent operations are performed.
In some embodiments, the first image data comprises face image data, and the sub-controller of the target cabin unit generates the target wireless network from the first image data, including the sub-controller deriving first feature data from the face image data, and the sub-controller generating the target wireless network from the first feature data.
In some embodiments, the sub-controller generates the target wireless network from the first characteristic data, including, the sub-controller generating network connection data from the first characteristic data, the network connection data including a network user name and a network password, the sub-controller generating the target wireless network from the network user name and the network password.
In some embodiments, the network user name includes first characteristic data, and the network password is the first characteristic data.
In some embodiments, the first feature data includes a plurality of first data feature values generated according to a preset condition, the second feature data includes a plurality of second data feature values generated according to the preset condition, and in case that a feature association degree of the second feature data and the first feature data is smaller than an association threshold value, the sub-controller sends a network access response to the client, including: and the sub-controller compares the plurality of first data characteristic values with the corresponding second data characteristic values according to preset conditions to obtain the characteristic association degree of the second characteristic data and the first characteristic data, and sends a network access response to the client under the condition that the characteristic association degree is smaller than an association threshold.
Referring to fig. 6, an embodiment of the present application provides a cabin unit control method, applied to an intelligent cabin, including but not limited to the following steps:
step S610, obtaining second image data;
in step S620, in the case where the second image data does not coincide with the first image data, the first image data is modified to the second image data, and the target wireless network is turned off.
In an exemplary embodiment, in a case that the second image data is inconsistent with the first image data, that is, in a scenario that a user moves from a first cabin unit to a second cabin unit in an intelligent cabin, the cabin unit control method includes that a master controller of the intelligent cabin obtains the second image data, in a case that the second image data is inconsistent with the first image data, the master controller modifies the first image data into the second image data, closes a target wireless network corresponding to the first cabin unit, performs acquisition to obtain the first image data, generates a second wireless network according to the first image data, the second wireless network includes network connection data, the network connection data includes first feature data generated according to the first image data, receives a network access request sent by a client, and sends a network access response to the client when the feature association degree of the second feature data and the first feature data is smaller than an association threshold, so that the client controls the second cabin unit through the second wireless network, further overcomes the problem that in the intelligent cabin, when a plurality of user terminals and a plurality of cabin units are in the intelligent cabin, the user terminals need to be connected with the cabin units, the user terminals are switched to each other, the user terminal needs to be connected with the cabin unit, and the user terminal is automatically switched to the target cabin unit, and the user terminal is automatically connected to the user terminal through the user terminal, and the user terminal is required to be switched to be connected to the user terminal.
Referring to fig. 7, an embodiment of the present application provides a cabin unit control method, which is applied to a client, and includes, but is not limited to, the following steps:
step S710, reading a network user name of at least one wireless network;
step S720, extracting first characteristic data of a network user name;
step S730, determining the wireless network with the feature association degree smaller than the association threshold as a target wireless network, wherein the feature association degree is the association degree of the first feature data and the preset second feature data;
step S740, generating a network access request according to the second characteristic data and the first characteristic data;
step S750, a network access request is sent to the target cabin unit corresponding to the target wireless network, so as to control the target cabin unit through the target wireless network.
In an exemplary embodiment, the steps S710 to S750 are the application of the method of the present application on the client, where the client determines the target wireless network by obtaining the accessory network user name, and then sends the network access request to access the target network, so as to implement the client to automatically input the network password, perform network access, and perform automatic connection, for example: the known data in the user mobile phone is 312011, the mobile phone searches for a hotspot user name, the hotspot user name is obtained, the user name is analyzed, the user name data feature is found to be closely related to the data 312011 in the mobile phone, the user mobile phone automatically initiates an access request to the related user name, a password is automatically input, meanwhile, the intelligent cabin hot point finds out that equipment requests access, the user and the password are checked, the user and the password are actually related to the known data 302112, and the intelligent cabin hot point grants the equipment access.
In some embodiments, a plurality of network usernames are acquired at a client, a wireless network corresponding to the network usernames with the characteristic association degree smaller than an association threshold is determined as a target wireless network, the characteristic association degree is the association degree of a characteristic value in the network usernames and preset second characteristic data, a network access request is generated according to the second characteristic data and the first characteristic data, the first characteristic data is the characteristic value in the network usernames of the target wireless network, and the network access request is sent to a target cabin unit corresponding to the target wireless network, so that the target cabin unit is controlled through the target wireless network, a password related to face recognition can be automatically generated for a user, and a hot spot in front of a corresponding person on a seat is automatically opened, so that an automatic connection effect is achieved.
In some embodiments, the network user name of the target wireless network generated by the target unit cabin includes first feature data, the network password of the target wireless network is the first feature data, after the target wireless network is determined by the client, the client can acquire the network password through the network user name, further carry the password information in the network access request, further enable the target cabin unit to receive the network access request, send a network access response to the client according to the password information carried in the network access request, and after the client receives the network access response, confirm that the target wireless network has been accessed, further automatically connect the cabin unit for the user, so that the user can control the target cabin unit through the target wireless network by the client.
Referring to fig. 8, an embodiment of the present application provides a cabin unit control method, which is applied to a client, and includes, but is not limited to, the following steps:
step S810, respectively comparing the plurality of first data characteristic values with corresponding second data characteristic values according to preset conditions to obtain the characteristic association degree of the second characteristic data and the first characteristic data;
in step S820, in the case where the feature association degree is smaller than the association threshold, the wireless network corresponding to the network user name is determined as the target wireless network.
In some embodiments, the first feature data includes a plurality of first data feature values generated according to a preset condition, the second feature data includes a plurality of second data feature values generated according to a preset condition, a wireless network corresponding to a network user name with a feature association degree smaller than an association threshold is determined as a target wireless network, the plurality of first data feature values are respectively compared with the corresponding second data feature values according to the preset condition to obtain feature association degrees of the second feature data and the first feature data, the wireless network corresponding to the network user name is determined as the target wireless network under the condition that the feature association degrees are smaller than the association threshold, a password related to face recognition is automatically generated for a user, a hot spot in front of a corresponding person on a seat is automatically started, and a client used by the user controls a target cabin unit through the target wireless network, so that intelligent interaction experience is provided for the user.
Referring to fig. 9, an embodiment of the present application provides a cabin unit control method, applied to an intelligent cabin, where the intelligent cabin includes a plurality of cabin units and a master controller, the cabin units include sub-controllers, and the master controller has authority to control each sub-controller, including but not limited to controlling all sub-controllers to uniformly display/play or operate the same content, and may also control a plurality of devices to independently receive, display or operate, for example, in determining a target cabin unit according to circumstances, the master controller may determine one cabin unit, and may also determine a plurality of cabin units connected to a plurality of cabin units, for example, a rear row, where the cabin unit control method includes but is not limited to the following steps:
step S910, the master controller acquires first image data;
step S920, the overall controller determines a target cabin unit from a plurality of cabin units according to the first image data;
step S930, the sub-controller of the target cabin unit generates a target wireless network according to the first image data, the target wireless network including network connection data including first feature data generated according to the first image data;
Step S940, the sub-controller receives a network access request sent by the client, wherein the network access request carries second characteristic data;
in step S950, in the case that the feature association degree of the second feature data and the first feature data is smaller than the association threshold, the sub-controller sends a network access response to the client, so that the client controls the target cabin unit through the target wireless network.
In an exemplary embodiment, the intelligent cabin comprises a plurality of cabin units and a master controller, the cabin units comprise a sub-controller, the master controller is responsible for selecting a target cabin unit in the intelligent cabin, the sub-controller is responsible for specific network connection processing in the target cabin unit, wherein the master controller acquires first image data, the master controller determines the target cabin unit from the plurality of cabin units according to the first image data, the sub-controller generates a target wireless network according to the first image data, the target wireless network comprises network connection data, the network connection data comprises first characteristic data generated according to the first image data, the sub-controller receives a network access request sent by a client, the network access request carries second characteristic data, and the sub-controller sends a network access response to the client under the condition that the characteristic association degree of the second characteristic data and the first characteristic data is smaller than an association threshold value, so that the client can control the target cabin unit through the target wireless network, and terminal equipment carried by a user can be automatically connected with the cabin unit in front of a seat in an intelligent cabin environment, so that the user can use conveniently.
Referring to fig. 10, an embodiment of the present application provides a cabin unit control method applied to a target cabin unit, including, but not limited to, the following steps:
step S1001, initializing and starting;
step S1002, the intelligent cabin starts face recognition, identifies personnel and generates corresponding face data;
step S1003, the intelligent cabin judges the user position, starts the corresponding hot spot and adjusts the user name password of the hot spot;
step S1004, the intelligent cabin waits for the user terminal to be accessed by the corresponding hot spot;
step S1005, judging whether an access request is received, and jumping to step S1006 when the access request is received; if the access request is not received, the step jumps to step S1005;
step S1006, determine if the password is correct? If the password is correct, the process goes to step S1007; if the password is incorrect, jumping to step S1008;
step S1007, the intelligent cabin allows the user terminal to access;
step S1008, the intelligent cabin does not allow the user terminal to access;
step S1009, ends.
Referring to fig. 11, an embodiment of the present application provides a cabin unit control method, which is applied to a client, and includes, but is not limited to, the following steps:
step S1101, initializing and starting;
Step S1102, the user terminal performs face input to generate corresponding face data;
step S1103, the user terminal enters the intelligent cabin along with the user to search for a hotspot;
step S1104, the user terminal finds out the corresponding hot spot and initiates access;
step S1105, determining whether to allow the access request? If yes, go to step S1106; if not, jumping to step S1105;
step S1106, determine if the password is correct? If yes, go to step S1107; if not, go to step S1108;
step S1107, the user terminal is connected with the corresponding hot spot of the intelligent cabin;
step S1108, user terminal access does not access the corresponding hotspot;
step S1109 ends.
Referring to fig. 12, an embodiment of the present application further provides a cabin unit control system 1200, comprising: the cabin unit control method according to any one of the embodiments described above is implemented when the processor 1210 executes the computer program, for example, the above-described method steps S110 to S140 in fig. 1, the above-described method steps S210 to S230 in fig. 2, the above-described method steps S310 to S320 in fig. 3, the above-described method steps S410 to S420 in fig. 4, the above-described method steps S510 to S530 in fig. 5, the above-described method steps S610 to S620 in fig. 6, the above-described method steps S710 to S750 in fig. 7, the above-described method steps S810 to S820 in fig. 8, the above-described method steps S910 to S950 in fig. 9, the above-described method steps S1001 to S1009 in fig. 10, and the above-described method steps S1101 to S1109 in fig. 11 are executed by the processor 1210 and the above-described computer program stored in the memory 1210 and the computer program is executable on the processor.
Furthermore, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions for execution by one or more control processors, for example, performing the above-described method steps S110 to S140 in fig. 1, method steps S210 to S230 in fig. 2, method steps S310 to S320 in fig. 3, method steps S410 to S420 in fig. 4, method steps S510 to S530 in fig. 5, method steps S610 to S620 in fig. 6, method steps S710 to S750 in fig. 7, method steps S810 to S820 in fig. 8, method steps S910 to S950 in fig. 9, method steps S1001 to S1009 in fig. 10, and method steps S1101 to S1109 in fig. 11.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a general processor, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
Claims (10)
1. A cabin unit control method for a cabin, the method comprising:
acquiring first image data, and generating a target wireless network according to the first image data, wherein the target wireless network comprises network connection data, and the network connection data comprises first characteristic data generated according to the first image data;
confirming a target cabin unit corresponding to the first image data, and controlling the target cabin unit to be started based on the target wireless network;
receiving a network access request sent by a client, wherein the network access request carries second characteristic data;
and under the condition that the feature association degree of the second feature data and the first feature data is smaller than a preset threshold value, sending a network access response to the client so that the client is connected with the target cabin unit through the target wireless network.
2. The cabin unit control method according to claim 1, characterized in that the generating a target wireless network includes:
extracting biological characteristic data in the first image data to obtain the first characteristic data;
generating network connection data according to the first characteristic data, wherein the network connection data comprises a network user name and a network password;
And generating the target wireless network according to the network user name and the network password.
3. The cabin unit control method according to claim 2, wherein the network user name includes first feature data, and the network password is the first feature data.
4. The cabin unit control method according to claim 2, wherein the first feature data includes a plurality of first data feature values generated according to a preset condition, the second feature data includes a plurality of second data feature values generated according to a preset condition, and the transmitting a network access response to the client in a case where a feature association degree of the second feature data and the first feature data is smaller than an association threshold value includes:
respectively comparing the plurality of first data characteristic values with the corresponding second data characteristic values according to the preset conditions to obtain the characteristic association degree of the second characteristic data and the first characteristic data;
and sending a network access response to the client under the condition that the characteristic association degree is smaller than an association threshold value.
5. The cabin unit control method according to any one of claims 1 to 4, characterized in that the identifying the target cabin unit to which the first image data corresponds includes:
Obtaining position information data according to the first image data;
determining a target cabin unit from a plurality of cabin units according to the position information data;
or,
acquiring sensing parameters of a sensor generating the first image data;
obtaining the position information data according to the sensing parameters;
and determining a target cabin unit from a plurality of cabin units according to the position information data.
6. A cabin unit control method according to any one of claims 1 to 4, characterized in that the method further comprises:
acquiring second image data;
and modifying the first image data into the second image data and closing the target wireless network under the condition that the second image data is inconsistent with the first image data.
7. A cabin unit control method applied to a client, the method comprising:
reading a network user name of at least one wireless network;
extracting first characteristic data of the network user name;
determining a wireless network with the feature association degree smaller than an association threshold as a target wireless network, wherein the feature association degree is the association degree of the first feature data and preset second feature data;
Generating a network access request according to the second characteristic data and the first characteristic data;
and sending the network access request to a target cabin unit corresponding to the target wireless network so as to control the target cabin unit through the target wireless network.
8. The cabin unit control method according to claim 7, wherein the first feature data includes a plurality of first data feature values generated according to a preset condition, the second feature data includes a plurality of second data feature values generated according to a preset condition, and the determining the wireless network corresponding to the network user name having a feature association degree smaller than an association threshold as the target wireless network includes:
respectively comparing the plurality of first data characteristic values with the corresponding second data characteristic values according to the preset conditions to obtain the characteristic association degree of the second characteristic data and the first characteristic data;
and under the condition that the feature association degree is smaller than an association threshold value, determining the wireless network corresponding to the network user name as a target wireless network.
9. A cabin unit control system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the cabin unit control method according to any one of claims 1 to 8 when executing the computer program.
10. A computer-readable storage medium storing computer-executable instructions for performing the cabin unit control method of any one of claims 1 to 8.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210620482.5A CN117221983A (en) | 2022-06-02 | 2022-06-02 | Cabin unit control method, system and computer storage medium |
| PCT/CN2023/082852 WO2023231525A1 (en) | 2022-06-02 | 2023-03-21 | Cockpit unit control method and system, and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210620482.5A CN117221983A (en) | 2022-06-02 | 2022-06-02 | Cabin unit control method, system and computer storage medium |
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| CN117221983A true CN117221983A (en) | 2023-12-12 |
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| CN202210620482.5A Pending CN117221983A (en) | 2022-06-02 | 2022-06-02 | Cabin unit control method, system and computer storage medium |
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| CN (1) | CN117221983A (en) |
| WO (1) | WO2023231525A1 (en) |
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| CN113963692A (en) * | 2020-07-03 | 2022-01-21 | 华为技术有限公司 | Voice instruction control method in vehicle cabin and related equipment |
| CN111931642A (en) * | 2020-08-07 | 2020-11-13 | 上海商汤临港智能科技有限公司 | Safety belt wearing detection method and device, electronic equipment and storage medium |
| CN112818311A (en) * | 2021-01-19 | 2021-05-18 | 恒大新能源汽车投资控股集团有限公司 | Service method of vehicle-mounted function, man-machine interaction system and electronic equipment |
| CN113038420A (en) * | 2021-03-03 | 2021-06-25 | 恒大新能源汽车投资控股集团有限公司 | Service method and device based on Internet of vehicles |
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- 2022-06-02 CN CN202210620482.5A patent/CN117221983A/en active Pending
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